Triple

T12805794
Position Surface form Disambiguated ID Type / Status
Subject Muktsar district E306139 entity
Predicate hasImportantTown P14082 FINISHED
Object Malout
Malout is a town in the Indian state of Punjab known as a regional commercial and agricultural center, particularly for its cotton and grain markets.
 E1004691 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Malout | Statement: [Muktsar district, hasImportantTown, Malout]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Malout
Context triple: [Muktsar district, hasImportantTown, Malout]
  • A. Maloy
    Maloy is a small unincorporated rural community located in Ringgold County, Iowa.
  • B. Murlo
    Murlo is a small historic municipality in Tuscany, Italy, known for its Etruscan archaeological heritage and picturesque rural landscape.
  • C. Murol
    Murol is a picturesque commune in central France’s Auvergne region, known for its medieval hilltop castle and scenic volcanic landscapes.
  • D. Mukalla
    Mukalla is a major port city on Yemen’s southern coast and the capital of the Hadhramaut Governorate.
  • E. Motal
    Motal is a small town in present-day Belarus, historically part of the Russian Empire, known as the birthplace of Israel’s first president, Chaim Weizmann.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Malout
Triple: [Muktsar district, hasImportantTown, Malout]
Generated description
Malout is a town in the Indian state of Punjab known as a regional commercial and agricultural center, particularly for its cotton and grain markets.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Malout
Target entity description: Malout is a town in the Indian state of Punjab known as a regional commercial and agricultural center, particularly for its cotton and grain markets.
  • A. Maloy
    Maloy is a small unincorporated rural community located in Ringgold County, Iowa.
  • B. Murlo
    Murlo is a small historic municipality in Tuscany, Italy, known for its Etruscan archaeological heritage and picturesque rural landscape.
  • C. Murol
    Murol is a picturesque commune in central France’s Auvergne region, known for its medieval hilltop castle and scenic volcanic landscapes.
  • D. Mukalla
    Mukalla is a major port city on Yemen’s southern coast and the capital of the Hadhramaut Governorate.
  • E. Motal
    Motal is a small town in present-day Belarus, historically part of the Russian Empire, known as the birthplace of Israel’s first president, Chaim Weizmann.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d7bdf366888190a8cccb982606889c completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e7f370c8190b3fc39c1b63394c6 completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ec463f08190822e5235362cf584 completed May 2, 2026, 11:54 p.m.
NEDg Description generation batch_69f6908cb8ec8190855b217c13a51f16 completed May 3, 2026, 12:02 a.m.
NED2 Entity disambiguation (via description) batch_69f6917688508190ae5a64494eaadce7 completed May 3, 2026, 12:06 a.m.
Created at: April 9, 2026, 5:31 p.m.